Software Quality Assurance Technician - Cloud, API & AI Systems (Contract / Temporary)Dearborn, MI (Hybrid - 4 days onsite) | $36.66/hour
We are seeking a detail-driven
Software Quality Assurance Technician to support testing, validation, and vendor deliverable acceptance for cloud-native, API-driven, and AI-enabled platforms. This temporary role focuses on ensuring software quality, compliance, and performance across containerized services, data pipelines, and AI engine deployments within a Google Cloud Platform environment.
The ideal candidate has strong experience in API testing, automation, cloud infrastructure validation, and structured QA processes including UAT, regression testing, and defect management.
Key Responsibilities
- Own vendor deliverable acceptance reviews against SOW acceptance criteria and issue formal defect reports
- Validate container images against SBOM requirements and cloud architecture standards
- Ensure AI model deployments comply with platform requirements (including Vertex AI registry validation)
- Design and maintain automated test suites for APIs, backend services, and data pipelines
- Execute regression, integration, and performance testing across cloud-native applications
- Lead UAT efforts with business stakeholders, including test design and feedback analysis
- Manage Jira defect workflows, prioritization, and SLA reporting
- Define and support Google Cloud Platform-based test environments with cloud engineering teams
- Develop QA metrics, dashboards, and test coverage reporting for leadership
- Evaluate AI/LLM outputs for accuracy, consistency, and regression performance
Required Qualifications
- 4+ years of software QA experience in cloud-native environments
- Strong API testing experience (Postman, REST, or equivalent)
- Experience with Google Cloud Platform (GCS, Pub/Sub, BigQuery, Cloud Run)
- Experience with containerized application testing and CI/CD validation
- Strong Jira experience for defect tracking and reporting
- Experience executing UAT and writing structured test cases
- Knowledge of automation frameworks (pytest or equivalent)
Preferred Experience
- AI/LLM testing or output evaluation experience
- Dynatrace or APM monitoring tools
- Performance/load testing experience
- Automotive or enterprise-scale QA environments
Employee Benefits
- Medical, dental, vision, and pet insurance
- 401(k) Retirement Savings Plans
- Employee Assistance Program (EAP)
- Commuter/Parking Accounts
- People Perks
- Health Savings Account (HSA)
- AD & D Insurance
This role is ideal for candidates seeking
QA engineer, test engineer, automation engineer, API testing, or cloud QA roles in a modern AI and cloud platform environment.
About UsAdvantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.
Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.
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